{"id":"https://openalex.org/W2342958238","doi":"https://doi.org/10.1109/tnnls.2015.2504389","title":"Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble","display_name":"Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble","publication_year":2015,"publication_date":"2015-12-17","ids":{"openalex":"https://openalex.org/W2342958238","doi":"https://doi.org/10.1109/tnnls.2015.2504389","mag":"2342958238","pmid":"https://pubmed.ncbi.nlm.nih.gov/26685271"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2015.2504389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2015.2504389","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050191142","display_name":"Pin Lim","orcid":"https://orcid.org/0000-0002-9933-7599"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pin Lim","raw_affiliation_strings":["Rolls-Royce Advance Technology Center, Singapore"],"affiliations":[{"raw_affiliation_string":"Rolls-Royce Advance Technology Center, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021045741","display_name":"Chi-Keong Goh","orcid":"https://orcid.org/0000-0002-4250-7307"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chi Keong Goh","raw_affiliation_strings":["Rolls-Royce Advance Technology Center, Singapore"],"affiliations":[{"raw_affiliation_string":"Rolls-Royce Advance Technology Center, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025285243","display_name":"Kay Chen Tan","orcid":"https://orcid.org/0000-0002-6802-2463"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kay Chen Tan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069576190","display_name":"P.S. Dutta","orcid":"https://orcid.org/0000-0002-1194-2728"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Partha Dutta","raw_affiliation_strings":["Rolls-Royce Advance Technology Center, Singapore"],"affiliations":[{"raw_affiliation_string":"Rolls-Royce Advance Technology Center, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5050191142"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0391,"has_fulltext":false,"cited_by_count":75,"citation_normalized_percentile":{"value":0.94132408,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"28","issue":"1","first_page":"136","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prognostics","display_name":"Prognostics","score":0.893431544303894},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7133970856666565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6434618830680847},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5878192186355591},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.4983038902282715},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.49148571491241455},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4749596118927002},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.4580729007720947},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4224550724029541},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.4123136103153229},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3238717317581177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25541621446609497},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23525556921958923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20995524525642395}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.893431544303894},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7133970856666565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6434618830680847},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5878192186355591},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.4983038902282715},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.49148571491241455},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4749596118927002},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.4580729007720947},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4224550724029541},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.4123136103153229},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3238717317581177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25541621446609497},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23525556921958923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20995524525642395},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2015.2504389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2015.2504389","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:26685271","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26685271","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W71549310","https://openalex.org/W144423698","https://openalex.org/W605727707","https://openalex.org/W1521943487","https://openalex.org/W1928409410","https://openalex.org/W1967372803","https://openalex.org/W1972893790","https://openalex.org/W1979659209","https://openalex.org/W1979819117","https://openalex.org/W1979861305","https://openalex.org/W1981639449","https://openalex.org/W1993267146","https://openalex.org/W1994591388","https://openalex.org/W2000743683","https://openalex.org/W2001129496","https://openalex.org/W2004753768","https://openalex.org/W2010839146","https://openalex.org/W2022032527","https://openalex.org/W2030888282","https://openalex.org/W2035109300","https://openalex.org/W2037838959","https://openalex.org/W2058923947","https://openalex.org/W2061701011","https://openalex.org/W2063789075","https://openalex.org/W2065139931","https://openalex.org/W2070853038","https://openalex.org/W2076411200","https://openalex.org/W2078098002","https://openalex.org/W2094939857","https://openalex.org/W2096790506","https://openalex.org/W2096947102","https://openalex.org/W2100805904","https://openalex.org/W2107278508","https://openalex.org/W2110787940","https://openalex.org/W2114328602","https://openalex.org/W2120841219","https://openalex.org/W2127918592","https://openalex.org/W2130488460","https://openalex.org/W2132698288","https://openalex.org/W2133085788","https://openalex.org/W2134456669","https://openalex.org/W2135479611","https://openalex.org/W2147564534","https://openalex.org/W2149956719","https://openalex.org/W2157883849","https://openalex.org/W2171077154","https://openalex.org/W2281043684","https://openalex.org/W2481897712","https://openalex.org/W2690485866","https://openalex.org/W2781862948","https://openalex.org/W3153499683","https://openalex.org/W4232478844","https://openalex.org/W4249919990","https://openalex.org/W6740076056","https://openalex.org/W6747371815","https://openalex.org/W6793656559"],"related_works":["https://openalex.org/W2310476526","https://openalex.org/W3213192587","https://openalex.org/W2144291498","https://openalex.org/W2535730979","https://openalex.org/W2030958945","https://openalex.org/W2370073012","https://openalex.org/W4386567722","https://openalex.org/W2168646784","https://openalex.org/W2103062922","https://openalex.org/W2162299404"],"abstract_inverted_index":{"For":[0],"accurate":[1],"prognostics,":[2],"users":[3],"have":[4,46],"to":[5,35,61,80,91,124],"determine":[6],"the":[7,11,19,30,41,47,51,56,81,92,133,157,164,185,190,206,212,215,219],"current":[8],"health":[9],"of":[10,18,32,49,55,72,83,94,108,136,163,184,214],"system":[12,42,57],"and":[13,58,97,152,160,196],"predict":[14,132],"future":[15,134],"degradation":[16,38,53,64,129,161,224],"pattern":[17],"system.":[20],"An":[21],"increasingly":[22],"popular":[23],"approach":[24],"toward":[25],"tackling":[26],"prognostic":[27],"problems":[28],"involves":[29],"use":[31,93],"switching":[33,112,120,220],"models":[34,65,96],"represent":[36],"various":[37,127,223],"phases,":[39,130],"which":[40],"undergoes.":[43],"Such":[44],"approaches":[45],"advantage":[48],"determining":[50],"exact":[52],"phase":[54,162],"being":[59],"able":[60],"handle":[62],"nonlinear":[63],"through":[66],"piecewise":[67],"linear":[68,128],"approximation.":[69],"However,":[70],"limitations":[71,103],"such":[73],"existing":[74],"methods":[75,110,203],"include,":[76],"limited":[77],"applicability":[78],"due":[79,90],"discretization":[82],"predicted":[84],"remaining":[85,158],"useful":[86],"life,":[87],"insufficient":[88],"robustness":[89,197],"single":[95],"others.":[98],"This":[99,146],"paper":[100],"circumvents":[101],"these":[102],"by":[104],"proposing":[105],"a":[106,119,173],"hybrid":[107],"ensemble":[109],"with":[111,201],"methods.":[113],"The":[114,167,182,208],"proposed":[115,147,168,186,191],"method":[116,148,192],"first":[117],"implements":[118],"Kalman":[121,141],"filter":[122],"(SKF)":[123],"classify":[125],"between":[126,222],"then":[131],"propagation":[135],"fault":[137],"dimension":[138],"using":[139],"appropriate":[140],"filters":[142],"for":[143],"each":[144],"phase.":[145],"achieves":[149,193],"both":[150],"continuous":[151],"discrete":[153],"prediction":[154],"values":[155],"representing":[156],"life":[159],"system,":[165],"respectively.":[166],"framework":[169,187],"is":[170],"shown":[171],"via":[172],"case":[174],"study":[175],"on":[176],"benchmark":[177],"simulated":[178],"aeroengine":[179],"data":[180],"sets.":[181],"evaluation":[183],"shows":[188],"that":[189],"better":[194],"accuracy":[195],"against":[198],"noise":[199],"compared":[200],"other":[202],"reported":[204],"in":[205,217],"literature.":[207],"results":[209],"also":[210],"indicate":[211],"effectiveness":[213],"SKF":[216],"detecting":[218],"point":[221],"modes.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}